Publications
Found 29 results
Filters: Author is Liaubet, Laurence [Clear All Filters]
Multi-tissue metabolic and transcriptomic responses to a short-term heat stress in swine. BMC Genomics. 2024;25(1):99. doi:10.1186/s12864-024-09999-1.
. Plasma H-NMR metabolic and amino acid profiles of newborn piglets from two lines divergently selected for residual feed intake. Sci Rep. 2023;13(1):7127. doi:10.1038/s41598-023-34279-5.
Whole-genome sequencing of cryopreserved resources from French Large White pigs at two distinct sampling times reveals strong signatures of convergent and divergent selection between the dam and sire lines. Genet Sel Evol. 2023;55(1):13. doi:10.1186/s12711-023-00789-z.
Correlation Networks Provide New Insights into the Architecture of Testicular Steroid Pathways in Pigs. Genes (Basel). 2021;12(4). doi:10.3390/genes12040551.
Joint Automatic Metabolite Identification and Quantification of a Set of H NMR Spectra. Anal Chem. 2021. doi:10.1021/acs.analchem.0c04232.
. The maturity in fetal pigs using a multi-fluid metabolomic approach. Sci Rep. 2020;10(1):19912. doi:10.1038/s41598-020-76709-8.
Omics Application in Animal Science-A Special Emphasis on Stress Response and Damaging Behaviour in Pigs. Genes (Basel). 2020;11(8). doi:10.3390/genes11080920.
. ASICS: an R package for a whole analysis workflow of 1D 1H NMR spectra. Bioinformatics. 2019;35(21):4356-4363. doi:10.1093/bioinformatics/btz248.
Transgenerational epigenetic inheritance in birds. Environ Epigenet. 2018;4(2):dvy008. doi:10.1093/eep/dvy008.
Comparing the intestinal transcriptome of Meishan and Large White piglets during late fetal development reveals genes involved in glucose and lipid metabolism and immunity as valuable clues of intestinal maturity. BMC Genomics. 2017;18(1):647. doi:10.1186/s12864-017-4001-2.
Deciphering mechanisms underlying the genetic variation of general production and liver quality traits in the overfed mule duck by pQTL analyses. Genet Sel Evol. 2017;49(1):38. doi:10.1186/s12711-017-0313-6.
Time course study of the response to LPS targeting the pig immune gene networks. BMC Genomics. 2017;18(1):988. doi:10.1186/s12864-017-4363-5.
Exploring transcriptomic diversity in muscle revealed that cellular signaling pathways mainly differentiate five Western porcine breeds. BMC Genomics. 2015;16:1055. doi:10.1186/s12864-015-2259-9.
Intestinal toxicity of the masked mycotoxin deoxynivalenol-3-β-D-glucoside. Arch Toxicol. 2015. doi:10.1007/s00204-015-1592-8.
Time course of the response to ACTH in pig: biological and transcriptomic study. BMC Genomics. 2015;16(1):961. doi:10.1186/s12864-015-2118-8.
Muscle transcriptomic investigation of late fetal development identifies candidate genes for piglet maturity. BMC Genomics. 2014;15:797. doi:10.1186/1471-2164-15-797.
Sperm DNA methylation analysis in swine reveals conserved and species-specific methylation patterns and highlights an altered methylation at the GNAS locus in infertile boars. Biol Reprod. 2014;91(6):137. doi:10.1095/biolreprod.114.119610.
The structure of a gene co-expression network reveals biological functions underlying eQTLs. PLoS One. 2013;8(4):e60045. doi:10.1371/journal.pone.0060045.
. NEUROG2 drives cell cycle exit of neuronal precursors by specifically repressing a subset of cyclins acting at the G1 and S phases of the cell cycle. Mol Cell Biol. 2012;32(13):2596-607. doi:10.1128/MCB.06745-11.
. Genetic variability of transcript abundance in pig peri-mortem skeletal muscle: eQTL localized genes involved in stress response, cell death, muscle disorders and metabolism. BMC Genomics. 2011;12:548. doi:10.1186/1471-2164-12-548.
Transcriptome profiling of sheep granulosa cells and oocytes during early follicular development obtained by laser capture microdissection. BMC Genomics. 2011;12:417. doi:10.1186/1471-2164-12-417.
The carnitine acetyltransferase gene (CRAT): a characterization of porcine transcripts with insights into the 5'-end variants of mammalian transcripts and their possible sub-cellular localization. Cell Mol Biol Lett. 2009;14(1):90-9. doi:10.2478/s11658-008-0036-3.
. Methods for interpreting lists of affected genes obtained in a DNA microarray experiment. BMC Proc. 2009;3 Suppl 4:S5.
Pathway results from the chicken data set using GOTM, Pathway Studio and Ingenuity softwares. BMC Proc. 2009;3 Suppl 4:S11. doi:10.1186/1753-6561-3-S4-S11.
. Using microarrays to identify positional candidate genes for QTL: the case study of ACTH response in pigs. BMC Proc. 2009;3 Suppl 4:S14. doi:10.1186/1753-6561-3-S4-S14.